There is great work being done in Irish research right now, and research roles are in high demand. But the area can be a little dense, and it’s hard to know what a researcher actually does from day to day.
Here, Kriti Bhargava, a PhD student at TSSG in Waterford, tells us about her daily work in research at the internet of things cutting edge.
What is your role within TSSG?
I am a second year PhD student with the data mining and social computing (DMSC) unit at TSSG. I am pursuing my PhD in the field of fog computing, under the supervision of Dr Stepan Ivanov and Dr Willie Donnelly.
Fog computing is a new paradigm in the internet of things, proposing a shift in intelligence away from the cloud and towards the edge of the network. In particular, we are looking at the analytics techniques that can be developed for the battery-powered wireless sensor devices constituting wireless sensor networks (WSN), and their applications in precision farming.
If there is such a thing, can you describe a typical day in the job?
For carrying out research, one of the major tasks for me is to read scientific papers from IEEE/ACM journals and conferences to uncover research problems. We address the typical needs and challenges in our area and work towards developing new algorithms for them.
Being involved with WSN, and as part of the DMSC unit, I also study different techniques for analysing the variety of data that comes from our sensors. We compile our work in the form of scientific papers that are submitted to different conferences and journals throughout the year.
Additionally, I am currently involved in a project for which I do code development.
What types of project do you work on?
I am currently working on a project titled ‘Using precision technologies, technology platforms and computational biology to increase the economic and environmental sustainability of pasture-based production systems’, which has received support from Science Foundation Ireland (SFI) and TEAGASC as part of the SFI-TEAGASC Future Agri-Food Partnership.
The team is, in particular, working on three aspects of the project:
1. The development of a universal sensor system to monitor farm conditions, and animal health and mobility.
2. Wireless sensor communication techniques and policy logic.
3. Predictive analytics for data inferencing and forecasting.
What skills do you use on a daily basis?
Programming is a prerequisite for any computer science researcher, as it enables us to develop our own systems.
Apart from that, scientific writing is a major skill required for all researchers – it is one thing to get an idea for work, but to be able to communicate it to the research community in the desired way is a challenge.
Understanding of what kind of analysis is needed for different data and comfort in working with tools for data analysis are also desirable skills.
Written and published by SiliconRepublic